On factors affecting the usage and adoption of a nation-wide TV streaming service

Karamshuk, Dmytro; Sastry, Nishanth; Secker, Andrew; Chandaria, Jigna

doi:10.1109/infocom.2015.7218454

Cited by 22 publications

(7 citation statements)

References 24 publications

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“…This allows for a number of new lines of exploration, particularly relating to how live videos are created and consumed by social ties. There have been a small number of studies into live streaming platforms, including Akamai [28], BBC iPlayer [15][16][17]24] or CNLive [20]. These professional platforms serve a wide range of international and professional content, although we emphasise that this differs dramatically from the user generated content discussed above.…”

Section: Background and Related Workmentioning

confidence: 99%

Facebook (A)Live?

Tyson

Sastry

2018

Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18

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The era of live-broadcast is back but with two major changes. First, unlike traditional TV broadcasts, content is now streamed over the Internet enabling it to reach a wider audience. Second, due to various user-generated content platforms it has become possible for anyone to get involved, streaming their own content to the world. This emerging trend of going live usually happens via social platforms, where users perform live social broadcasts predominantly from their mobile devices, allowing their friends (and the general public) to engage with the stream in real-time. With the growing popularity of such platforms, the burden on the current Internet infrastructure is therefore expected to multiply. With this in mind, we explore one such prominent platform -Facebook Live. We gather 3TB of data, representing one month of global activity and explore the characteristics of live social broadcast. From this, we derive simple yet effective principles which can decrease the network burden. We then dissect global and hyper-local properties of the video while on-air, by capturing the geography of the broadcasters or the users who produce the video and the viewers or the users who interact with it. Finally, we study the social engagement while the video is live and distinguish the key aspects when the same video goes on-demand. A common theme throughout the paper is that, despite its name, many attributes of Facebook Live deviate from both the concepts of live and broadcast.

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Section: Background and Related Workmentioning

confidence: 99%

Facebook (A)Live?

Tyson

Sastry

2018

Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18

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“…Here, we focus on push-versus pull-style accesses. Previously, we have also examined the factors affecting adoption and usage of TV streaming across the UK ISP ecosystem [25]. In comparison to the previous largest measurement study of catch-up TV [3], our work makes new observations on push versus pull access patterns, includes radio workloads in addition to TV, and proposes SCORE as a novel mechanism to mitigate the footprint of catch-up.…”

Section: Related Workmentioning

confidence: 99%

SCORE: Exploiting Global Broadcasts to Create Offline Personal Channels for On-Demand Access

Nencioni

Sastry

Tyson

et al. 2016

IEEE/ACM Trans. Networking

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The last 5 years have seen a dramatic shift in media distribution. For decades, TV and radio were solely provisioned using push-based broadcast technologies, forcing people to adhere to fixed schedules. The introduction of catch-up services, however, has now augmented such delivery with online pull-based alternatives. Typically, these allow users to fetch content for a limited period after initial broadcast, allowing users flexibility in accessing content. Whereas previous work has investigated both of these technologies, this paper explores and contrasts them, focusing on the network consequences of moving towards this multifaceted delivery model. Using traces from nearly 6 million users of BBC iPlayer, one of the largest catch-up TV services, we study this shift from push-to pull-based access. We propose a novel technique for unifying both push-and pull-based delivery: the Speculative Content Offloading and Recording Engine (SCORE). SCORE operates as a set-top box, which interacts with both broadcast push and online pull services. Whenever users wish to access media, it automatically switches between these distribution mechanisms in an attempt to optimize energy efficiency and network resource utilization. SCORE also can predict user viewing patterns, automatically recording certain shows from the broadcast interface. Evaluations using our BBC iPlayer traces show that, based on parameter settings, an oracle with complete knowledge of user consumption can save nearly 77% of the energy, and over 90% of the peak bandwidth, of pure IP streaming. Optimizing for energy consumption, SCORE can recover nearly half of both traffic and energy savings.

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“…The vertical axis shows the different research contexts defined for the state of the art investigation, while the horizontal axis presents the research types defined by the systematic mapping methodology. From this map it is possible to remark: there are no works that apply incremental learning in service degradation; most of discarded papers are related to traffic mobility and object and people recognition; there are 8 papers that apply incremental learning to network traffic classification [14]- [21]; there are no papers that describe and share new datasets; and finally there are 2 papers [22], [23] related to service degradation that provide an analysis of the consequences provoked by the application of this resource control mechanism.…”

Section: Related Workmentioning

confidence: 99%